{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7f1a10af-e051-4954-af4f-9e8a900ccf8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "xls = \"C:\\\\Users\\\\Sarth\\\\OneDrive\\\\Merger Analysis of Duke Energy and Progress Energy\\\\Consolidated Useful data.xlsx\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3cf3e8cd-fbd3-4a9c-aa91-773dc3baef05",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>STATE</th>\n",
       "      <th>State_NA</th>\n",
       "      <th>State_Code</th>\n",
       "      <th>Real_GSP_2017_M</th>\n",
       "      <th>State_UR</th>\n",
       "      <th>Population</th>\n",
       "      <th>Any_merger</th>\n",
       "      <th>IOU_Merger</th>\n",
       "      <th>GSP_Per_Capita</th>\n",
       "      <th>...</th>\n",
       "      <th>_est_Imputed</th>\n",
       "      <th>_est_Pure</th>\n",
       "      <th>avg_Cost_Coal_MBTU</th>\n",
       "      <th>avg_ImpCost_Coal_MBTU</th>\n",
       "      <th>avg_Cost_FuelOil_MBTU</th>\n",
       "      <th>avg_ImpCost_FuelOil_MBTU</th>\n",
       "      <th>avg_Cost_NaturalGas_MBTU</th>\n",
       "      <th>avg_ImpCost_NaturalGas_MBTU</th>\n",
       "      <th>avg_Cost_Nuclear_MBTU</th>\n",
       "      <th>avg_ImpCost_Nuclear_MBTU</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>2019_AK</td>\n",
       "      <td>52325.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>733603</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71326.453136</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>2015_AK</td>\n",
       "      <td>53681.1</td>\n",
       "      <td>6.5</td>\n",
       "      <td>738430</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>72696.260986</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>2016_AK</td>\n",
       "      <td>53463.9</td>\n",
       "      <td>6.9</td>\n",
       "      <td>742575</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71997.980002</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>2017_AK</td>\n",
       "      <td>53550.9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>740983</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>72270.079071</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>2008_AK</td>\n",
       "      <td>49926.6</td>\n",
       "      <td>6.7</td>\n",
       "      <td>687455</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>72625.262744</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>2010</td>\n",
       "      <td>WI</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2010_WI</td>\n",
       "      <td>293664.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5690538</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>51605.665405</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>2008</td>\n",
       "      <td>WI</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2008_WI</td>\n",
       "      <td>286204.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>5640996</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>50736.554325</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>2017</td>\n",
       "      <td>WI</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2017_WI</td>\n",
       "      <td>321886.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5793147</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>55563.375140</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2011</td>\n",
       "      <td>WI</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2011_WI</td>\n",
       "      <td>293664.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>5705840</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>51467.268623</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2009</td>\n",
       "      <td>WI</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2009_WI</td>\n",
       "      <td>277279.4</td>\n",
       "      <td>8.6</td>\n",
       "      <td>5669264</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>48909.241129</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.223636</td>\n",
       "      <td>2.238596</td>\n",
       "      <td>17.098595</td>\n",
       "      <td>17.301008</td>\n",
       "      <td>4.824474</td>\n",
       "      <td>4.858761</td>\n",
       "      <td>0.638676</td>\n",
       "      <td>0.656477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>252 rows × 117 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year STATE   State_NA State_Code  Real_GSP_2017_M  State_UR  Population  \\\n",
       "0    2019    AK     Alaska    2019_AK          52325.3       NaN      733603   \n",
       "1    2015    AK     Alaska    2015_AK          53681.1       6.5      738430   \n",
       "2    2016    AK     Alaska    2016_AK          53463.9       6.9      742575   \n",
       "3    2017    AK     Alaska    2017_AK          53550.9       7.0      740983   \n",
       "4    2008    AK     Alaska    2008_AK          49926.6       6.7      687455   \n",
       "..    ...   ...        ...        ...              ...       ...         ...   \n",
       "247  2010    WI  Wisconsin    2010_WI         293664.0       8.7     5690538   \n",
       "248  2008    WI  Wisconsin    2008_WI         286204.7       4.9     5640996   \n",
       "249  2017    WI  Wisconsin    2017_WI         321886.8       3.3     5793147   \n",
       "250  2011    WI  Wisconsin    2011_WI         293664.0       7.8     5705840   \n",
       "251  2009    WI  Wisconsin    2009_WI         277279.4       8.6     5669264   \n",
       "\n",
       "     Any_merger  IOU_Merger  GSP_Per_Capita  ...  _est_Imputed  _est_Pure  \\\n",
       "0             1           0    71326.453136  ...             1          1   \n",
       "1             1           0    72696.260986  ...             1          0   \n",
       "2             1           0    71997.980002  ...             1          0   \n",
       "3             1           0    72270.079071  ...             1          0   \n",
       "4             1           0    72625.262744  ...             1          0   \n",
       "..          ...         ...             ...  ...           ...        ...   \n",
       "247           1           0    51605.665405  ...             1          0   \n",
       "248           1           0    50736.554325  ...             1          0   \n",
       "249           1           0    55563.375140  ...             1          1   \n",
       "250           1           0    51467.268623  ...             1          0   \n",
       "251           1           0    48909.241129  ...             1          0   \n",
       "\n",
       "     avg_Cost_Coal_MBTU  avg_ImpCost_Coal_MBTU  avg_Cost_FuelOil_MBTU  \\\n",
       "0              2.223636               2.238596              17.098595   \n",
       "1              2.223636               2.238596              17.098595   \n",
       "2              2.223636               2.238596              17.098595   \n",
       "3              2.223636               2.238596              17.098595   \n",
       "4              2.223636               2.238596              17.098595   \n",
       "..                  ...                    ...                    ...   \n",
       "247            2.223636               2.238596              17.098595   \n",
       "248            2.223636               2.238596              17.098595   \n",
       "249            2.223636               2.238596              17.098595   \n",
       "250            2.223636               2.238596              17.098595   \n",
       "251            2.223636               2.238596              17.098595   \n",
       "\n",
       "     avg_ImpCost_FuelOil_MBTU  avg_Cost_NaturalGas_MBTU  \\\n",
       "0                   17.301008                  4.824474   \n",
       "1                   17.301008                  4.824474   \n",
       "2                   17.301008                  4.824474   \n",
       "3                   17.301008                  4.824474   \n",
       "4                   17.301008                  4.824474   \n",
       "..                        ...                       ...   \n",
       "247                 17.301008                  4.824474   \n",
       "248                 17.301008                  4.824474   \n",
       "249                 17.301008                  4.824474   \n",
       "250                 17.301008                  4.824474   \n",
       "251                 17.301008                  4.824474   \n",
       "\n",
       "     avg_ImpCost_NaturalGas_MBTU  avg_Cost_Nuclear_MBTU  \\\n",
       "0                       4.858761               0.638676   \n",
       "1                       4.858761               0.638676   \n",
       "2                       4.858761               0.638676   \n",
       "3                       4.858761               0.638676   \n",
       "4                       4.858761               0.638676   \n",
       "..                           ...                    ...   \n",
       "247                     4.858761               0.638676   \n",
       "248                     4.858761               0.638676   \n",
       "249                     4.858761               0.638676   \n",
       "250                     4.858761               0.638676   \n",
       "251                     4.858761               0.638676   \n",
       "\n",
       "     avg_ImpCost_Nuclear_MBTU  \n",
       "0                    0.656477  \n",
       "1                    0.656477  \n",
       "2                    0.656477  \n",
       "3                    0.656477  \n",
       "4                    0.656477  \n",
       "..                        ...  \n",
       "247                  0.656477  \n",
       "248                  0.656477  \n",
       "249                  0.656477  \n",
       "250                  0.656477  \n",
       "251                  0.656477  \n",
       "\n",
       "[252 rows x 117 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_excel(xls)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ded788f5-ca5e-4fb1-8346-ee8f70f8090f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "989a618f-0543-429e-bd04-2683e908efad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming the DataFrame `df` is already loaded\n",
    "\n",
    "# List of variables to plot\n",
    "variables = ['Cost_Coal_MBTU', 'ImpCost_Coal_MBTU', 'Cost_FuelOil_MBTU', 'ImpCost_FuelOil_MBTU',\n",
    "             'Cost_NaturalGas_MBTU', 'ImpCost_NaturalGas_MBTU', 'Cost_Nuclear_MBTU', 'ImpCost_Nuclear_MBTU']\n",
    "\n",
    "# Scaling factors based on the provided ranges\n",
    "scaling_factors = {\n",
    "    'Cost_Coal_MBTU': 1/4,\n",
    "    'ImpCost_Coal_MBTU': 1/4,\n",
    "    'Cost_FuelOil_MBTU': 1/25,\n",
    "    'ImpCost_FuelOil_MBTU': 1/25,\n",
    "    'Cost_NaturalGas_MBTU': 1/11,\n",
    "    'ImpCost_NaturalGas_MBTU': 1/11,\n",
    "    'Cost_Nuclear_MBTU': 1/2,\n",
    "    'ImpCost_Nuclear_MBTU': 1/2\n",
    "}\n",
    "\n",
    "# Calculate the average values by year\n",
    "avg_df = df.groupby(['Year'])[variables].mean().reset_index()\n",
    "\n",
    "# Rescale the data\n",
    "for var in variables:\n",
    "    avg_df[var] *= scaling_factors[var]\n",
    "\n",
    "# Prepare data for box plots, excluding empty data points\n",
    "data_to_plot = [avg_df[var].dropna() for var in variables]\n",
    "\n",
    "# Create the box plots\n",
    "fig, ax = plt.subplots(figsize=(14, 8))\n",
    "\n",
    "# Box plot\n",
    "ax.boxplot(data_to_plot)\n",
    "\n",
    "# Set the labels\n",
    "x_labels = ['Coal', 'Imputed Coal', 'Fuel Oil', 'Imputed Fuel Oil',\n",
    "            'Natural Gas', 'Imputed N. Gas', 'Nuclear', 'Imputed Nuclear']\n",
    "ax.set_xticklabels(x_labels, rotation=45, ha='right', fontsize=14)\n",
    "ax.set_xlabel('Resource and Cost Type', fontsize=16)\n",
    "ax.set_ylabel('Rescaled Price', fontsize=16)\n",
    "ax.set_title('Box Plot of Rescaled Cost and Imputed Cost by Resource Averaged Across All States', fontsize=18)\n",
    "\n",
    "# Apply the same background and style of indexation\n",
    "ax.grid(True, linestyle='--', linewidth=0.5)\n",
    "fig.patch.set_facecolor('white')\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "output_file_path = \"C:\\\\Users\\\\Sarth\\\\OneDrive\\\\Merger Analysis of Duke Energy and Progress Energy\\\\Consolidated Useful data\\\\paper writing graphs\\\\apple.png\"\n",
    "plt.savefig(output_file_path)\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c730fda1-1e91-4170-aff7-4abf87ba5f10",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7add3485-a8e2-4f33-84c4-f8f7484f3f73",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plotting up prices of the stock \n",
    "plt.bar(up_coal.index, up.close-up.open, width, bottom=up.open, color=col1) \n",
    "plt.bar(up.index, up.high-up.close, width2, bottom=up.close, color=col1) \n",
    "plt.bar(up.index, up.low-up.open, width2, bottom=up.open, color=col1) \n",
    "  \n",
    "# Plotting down prices of the stock \n",
    "plt.bar(down.index, down.close-down.open, width, bottom=down.open, color=col2) \n",
    "plt.bar(down.index, down.high-down.open, width2, bottom=down.open, color=col2) \n",
    "plt.bar(down.index, down.low-down.close, width2, bottom=down.close, color=col2) \n",
    "  \n",
    "# rotating the x-axis tick labels at 30degree  \n",
    "# towards right \n",
    "plt.xticks(rotation=30, ha='right') \n",
    "  \n",
    "# displaying candlestick chart of stock data  \n",
    "# of a week \n",
    "plt.show() "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
